Enhancing Physical Education Learning Through AI-Based Education in the PGSD Program at the Open University in the Digital Era

Authors

  • Mudayat Mudayat Terbuka University
  • Ichwan Ichwan Terbuka University
  • A.A Ketut Budiastara Terbuka University
  • Hasbi Asyhari Makassar State University
  • Martha Betaubun Musamus University
  • Dilli Dwi Kuswoyo Musamus University

DOI:

https://doi.org/10.55927/eajmr.v4i6.244

Keywords:

Artificial Intelligence, Physical Education, Digital Learning

Abstract

This study aims to analyze the impact of AI-based educational tools on learning outcomes in Physical Education (PE) among PGSD students at Universitas Terbuka in the digital era. Using a mixed-methods approach, data were collected from 100 students and 10 lecturers through questionnaires and interviews. The results show that AI-supported platforms enhanced student engagement, improved real-time feedback, and increased concept retention by approximately 30%, especially in understanding biomechanics and game strategies. However, challenges such as digital infrastructure, device access, and low digital literacy still hinder optimal implementation. These findings indicate that AI holds significant potential to transform PE learning in distance education settings, provided institutional support is strengthened.

References

Afzal, I., & Torralba, A. (2024). Cognitive Skills Development through AI Tools: Critical Thinking and Pedagogics Design in Modern Education. Unpublished. https://doi.org/10.13140/RG.2.2.34811.53281

Al Meslamani, A. Z. (2023). Technical and regulatory challenges of digital health implementation in developing countries. Journal of Medical Economics, 26(1), 1057–1060. https://doi.org/10.1080/13696998.2023.2249757

Alamäki, A., Khan, U. A., Kauttonen, J., & Schlögl, S. (2024). An Experiment of AI-Based Assessment: Perspectives of Learning Preferences, Benefits, Intention, Technology Affinity, and Trust. Education Sciences, 14(12), 1386. https://doi.org/10.3390/educsci14121386

Brown, C. (2008). Sport, modernity and nation building: The Indonesian National Games of 1951 and 1953. Bijdragen Tot de Taal-, Land- En Volkenkunde / Journal of the Humanities and Social Sciences of Southeast Asia, 164(4), 431–449. https://doi.org/10.1163/22134379-90003650

Capraro, V., Lentsch, A., Acemoglu, D., Akgun, S., Akhmedova, A., Bilancini, E., Bonnefon, J.-F., Brañas-Garza, P., Butera, L., Douglas, K. M., Everett, J. A. C., Gigerenzer, G., Greenhow, C., Hashimoto, D. A., Holt-Lunstad, J., Jetten, J., Johnson, S., Kunz, W. H., Longoni, C., … Viale, R. (2024). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus, 3(6), pgae191. https://doi.org/10.1093/pnasnexus/pgae191

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8

James, W., Oates, G., & Schonfeldt, N. (2024). Improving retention while enhancing student engagement and learning outcomes using gamified mobile technology. Accounting Education, 1–21. https://doi.org/10.1080/09639284.2024.2326009

Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017

Koçak, H., Kuday, A. D., Kınık, K., Çalışkan, C., Çelebi, İ., & Açıksarı, K. (2025). Evaluating the Turkish Red Crescent’s (Türk Kızılay) disaster response: Insights from the 2023 Kahramanmaraş earthquakes. BMC Public Health, 25(1), 783. https://doi.org/10.1186/s12889-025-21950-x

Olivas-Padilla, B. E., Manitsaris, S., & Glushkova, A. (2024). Explainable AI in human motion: A comprehensive approach to analysis, modeling, and generation. Pattern Recognition, 151, 110418. https://doi.org/10.1016/j.patcog.2024.110418

Rizvi, M. (2023). Investigating AI-Powered Tutoring Systems that Adapt to Individual Student Needs, Providing Personalized Guidance and Assessments. The Eurasia Proceedings of Educational and Social Sciences, 31, 67–73. https://doi.org/10.55549/epess.1381518

Sasikala, P., & Ravichandran, R. (2024). Study on the Impact of Artificial Intelligence on Student Learning Outcomes. Journal of Digital Learning and Education, 4(2), 145–155. https://doi.org/10.52562/jdle.v4i2.1234

Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8, 100355. https://doi.org/10.1016/j.caeai.2024.100355

Tannoubi, A., Guelmami, N., Bonsaksen, T., Chalghaf, N., Azaiez, F., & Bragazzi, N. L. (2022). Development and Preliminary Validation of the Physical Education-Study Process Questionnaire: Insights for Physical Education University Students. Frontiers in Public Health, 10, 856167. https://doi.org/10.3389/fpubh.2022.856167

Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A. (2023). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and Information Technologies, 28(6), 6695–6726. https://doi.org/10.1007/s10639-022-11431-8

V, V., & K, D. K. K. (2024). Revolutionizing Physical Education: The Role of Artificial Intelligence in Enhancing Learning and Performance. Library Progress International, 44(3), Article 3. https://doi.org/10.48165/bapas.2024.44.2.1

Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications, 252, 124167. https://doi.org/10.1016/j.eswa.2024.124167

Ward, B., Bhati, D., Neha, F., & Guercio, A. (2024). Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2412.02166

Widodo, A., Irianto, D. P., Graha, A. S., Yudanto, Y., Juniarta, T., & Bachtiar, B. (2022). Analisis Kebutuhan Pengembangan E-Modul Personalized System of Instruction pada Pembelajaran Daring Pendidikan Jasmani. Jurnal Pendidikan Jasmani Indonesia, 18(1), 69–77. https://doi.org/10.21831/jpji.v18i1.49006

Yaseen, H., Mohammad, A. S., Ashal, N., Abusaimeh, H., Ali, A., & Sharabati, A.-A. A. (2025). The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy. Sustainability, 17(3), 1133. https://doi.org/10.3390/su17031133

Zhang, B., Jin, H., & Duan, X. (2022). Physical education movement and comprehensive health quality intervention under the background of artificial intelligence. Frontiers in Public Health, 10, 947731. https://doi.org/10.3389/fpubh.2022.947731

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Published

2025-06-17

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Articles